Detecting label noise in longitudinal Alzheimer’s data with explainable artificial intelligence by Paolo Sorino, Angela Lombardi, Domenico Lofù, Tommaso Colafiglio, Antonio Ferrara, Fedelucio Narducci, Eugenio Di Sciascio, Tommaso Di Noia

“…This study explores the potential of explainable artificial intelligence to detect and characterize noisy labels in longitudinal datasets. …”
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Fetal electrocardiography and artificial intelligence for prenatal detection of congenital heart disease by Ivar R. deVries, Judith O. E. H. vanLaar, Marieke B. van der Hout‐van der Jagt, Sally‐Ann B. Clur, Rik Vullings

“…The sensitivity was however 75% and 69% for CHD cases requiring an intervention in the neonatal period and first year of life, respectively. …”
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Leveraging artificial intelligence for diagnosis of children autism through facial expressions by Mahmood A. Mahmood, Leila Jamel, Nazik Alturki, Medhat A. Tawfeek

“…The incorporation of artificial intelligence in ASD evaluation services holds promise to transform early therapy approaches, which leads to better results for autistic children all around the globe.…”
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Leveraging big data and artificial intelligence for smarter trials in myeloproliferative neoplasms by Joshua W. Bliss, Spencer Krichevsky, Spencer Krichevsky, Joseph Scandura, Ghaith Abu-Zeinah

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Application of Artificial Intelligence in Tinnitus Diagnosis and Treatment: A Pilot Study by Yu Wang, Kaixiang Pan, Richard Tyler, Zhaoyi Lu, Shan Xiong, Yufei Xie, Tao Pan

“…Symptoms of tinnitus and severity vary significantly from person to person, largely be attributed to an individual’s perception to the condition and increasing amount of people seek medical intervention. Unlike other diseases, tinnitus pathophysiology is complex and sometimes inexplicable. …”
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Generative artificial intelligence in cardiovascular specialty care: a scoping review by Xinglin Zheng, Huina Zou, Linjing Wu, Peihuang Dong, Wenhui Yuan, Yuan Chen

“…Generative artificial intelligence has outstanding effects in reducing nursing workload and precise intervention, but there are limitations in the field of health education and counseling, such as logical disconnection, poor information quality, and lack of humanistic care. …”
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DKA Prediction in Children Using Artificial Intelligence: Improved Emergency Care by Arifa Parveen, Mohsina Riffat, Sarang Shaikh

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Artificial intelligence driven mental health diagnosis based on physiological signals by P.R. Naregalkar, A.A. Shinde, M.V. Patil

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Mapping the use of artificial intelligence in medical education: a scoping review by Erwin Hernando Hernández Rincón, Daniel Jimenez, Lizeth Alexandra Chavarro Aguilar, Juan Miguel Pérez Flórez, Álvaro Enrique Romero Tapia, Claudia Liliana Jaimes Peñuela

“…Abstract Introduction The integration of artificial intelligence (AI) in healthcare has transformed clinical practices and medical education, with technologies like diagnostic algorithms and clinical decision support increasingly incorporated into curricula. …”
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Construction and application of foundational models for intelligent processing of microseismic events in mines by Anye CAO, Maotao LI, Xu YANG, Yao YANG, Sen LI, Yaoqi LIU, Changbin WANG

“…Conventional automated processing methods suffer from low accuracy and heavy reliance on manual intervention for source parameter calculation, failing to meet the requirements of intelligent disaster warning. …”
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Evaluation of an Artificial Intelligence Model for Identification of Intracranial Hemorrhage Subtypes on Computed Tomography of the Head by James M. Hillis, Bernardo C. Bizzo, Isabella Newbury‐Chaet, Sarah F. Mercaldo, John K. Chin, Ankita Ghatak, Madeleine A. Halle, Eric L'Italien, Ashley L. MacDonald, Alex S. Schultz, Karen Buch, John Conklin, Stuart Pomerantz, Sandra Rincon, Keith J. Dreyer, William A. Mehan

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OppIN: Optimal Path Intervention for Emergency Response Leveraging IoT and Big Data Technologies by Yassine Gacha, Takoua Abdellatif

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When the Past Is Backward and the Future Is Forward: An Embodied Cognition Intervention in Preschoolers with Developmental Language Disorder by Carla Vergara, Mabel Urrutia, Alberto Domínguez

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Stress-reducing strategies and interventions for gynecology & obstetrics residents: a narrative review by Alireza Mirzaei, Sepideh Jamshidian, Fariba Haghani

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Machine Learning for Just-In-Time Adaptive Mental Health Interventions Using Smartwatch Data by Douglas Talbert, Katherine Phillips

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Comparative efficacy of topical interventions for facial photoaging: a network meta-analysis by Lulu Lin, Xueqing Chen, Chuanhui Liu, Qiting Wang, Weishan Lian, Xin Xu, Yawei Guo, Huiyuan Zhong, Jiangming Zhong, Nan Zhao, Weibin Cheng, Peng Shu, Zhongzhi Xu

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Impact of Inquiry-Based Stress Reduction Intervention on Pharmacy Students’ Test Anxiety by Martha Ndung’u, Suzanne Galal, Emily Tran, Matissa Peng, Jeffrey Chang, Deepti Vyas, John Mayberry, Avneet Kaur Chima

“…Both groups attended a 1.5 h seminar; the intervention group learned the IBSR technique, while the control group received instruction on an unrelated topic (emotional intelligence). …”
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The ChatGPT may free time needed by the interventional radiologist for administration / documentation by Jan F Senge, Matthew T McMurray, Fabian Haupt, Philipe S. Breiding, Claus Beisbart, Keivan Daneshvar, Alois Komarek, Gerd Nöldge, Frank Mosler, Wolfram Andreas Bosbach

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From detection to intervention: An end-to-end system for recognizing the “signal for help” gesture in real-time by Federico Buccellato, Eleonora Vacca, Sarah Azimi, Corrado De Sio, Luca Sterpone

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Home-Based Intervention Tool for Cardiac Telerehabilitation: Protocol for a Controlled Trial by Francesca Mastorci, Maria Francesca Lodovica Lazzeri, Lamia Ait-Ali, Paolo Marcheschi, Paola Quadrelli, Massimiliano Mariani, Rafik Margaryan, Wanda Pennè, Marco Savino, Giuseppe Prencipe, Alina Sirbu, Paolo Ferragina, Corrado Priami, Alessandro Tommasi, Cesare Zavattari, Pierluigi Festa, Stefano Dalmiani, Alessandro Pingitore

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